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<li id="gomsi"></li> This demo nstrates how to use the Sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： Sequential reversible algorithm nstrates
上傳時(shí)間： 2014-01-18
上傳用戶：康郎
lz77算法("A Universal Algorithm for Sequential Data Compression")的一種簡(jiǎn)潔直觀的實(shí)現(xiàn)。
標(biāo)簽： Compression Sequential Universal Algorithm
上傳時(shí)間： 2014-11-18
上傳用戶：362279997
A stack-based Sequential depth-first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems
標(biāo)簽： Maximum-Likelihood stack-based depth-first Sequential
上傳時(shí)間： 2013-12-20
上傳用戶：hebmuljb
Sequential Monte Carlo without Likelihoods 粒子濾波不用似然函數(shù)的情況下 本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. Despite representing a substantial methodological advance, existing methods based on rejection sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly require far more iterations than may be practical to implement. Here we propose a Sequential Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis.
標(biāo)簽： Likelihoods Sequential Bayesian without
上傳時(shí)間： 2016-05-26
上傳用戶：離殤
Mining Sequential patterns with constraint (SPADE with constraint)
標(biāo)簽： constraint with Sequential patterns
上傳時(shí)間： 2013-12-25
上傳用戶：ynzfm
Sequential Minimal Optimization- A Fast Algorithm for Training Support Vector Machines
標(biāo)簽： Optimization Sequential Algorithm Machines
上傳時(shí)間： 2016-11-25
上傳用戶：youmo81
New Sequential Monte Carlo methods for nonlinear dynamic systems 不錯(cuò)的文章
標(biāo)簽： Sequential nonlinear methods dynamic
上傳時(shí)間： 2016-12-21
上傳用戶：LouieWu
學(xué)校的CFD的模型 運(yùn)用poisson equation 非常好的Sequential programme
標(biāo)簽： Sequential programme equation poisson
上傳時(shí)間： 2013-12-11
上傳用戶：jennyzai
vhdl codes for combinational and Sequential circuit
標(biāo)簽： combinational Sequential circuit codes
上傳時(shí)間： 2014-11-28
上傳用戶：zgu489
Sequential Monte Carlo
標(biāo)簽： Sequential Monte Carlo
上傳時(shí)間： 2013-11-29
上傳用戶：bakdesec
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